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- Tasks: Lead a squad to develop innovative AI prototypes and tools.
- Company: Dynamic London-based product consultancy with a focus on innovation.
- Benefits: Flexible remote work, generous learning budget, and health insurance.
- Why this job: Shape the future of AI while collaborating with talented teams.
- Qualifications: 5+ years in product management and strong collaboration skills required.
- Other info: Exciting opportunity for career growth in a cutting-edge field.
The predicted salary is between 48000 - 72000 £ per year.
A London-based product consultancy is seeking a Senior Product Manager (AI) to lead a new squad focused on developing AI prototypes and tools. The role involves managing a backlog of projects, collaborating with engineering teams, and conducting experiments to validate innovative concepts.
Key requirements include:
- Over 5 years of product management experience
- Strong collaboration skills
- Familiarity with AI technologies
The position offers a flexible, remote-first work environment with generous benefits, including a learning budget and health insurance.
Senior AI Product Manager - Prototyping & Internal Tools in London employer: Elsewhen
Contact Detail:
Elsewhen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Product Manager - Prototyping & Internal Tools in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and product management space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your past projects, especially those involving AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common product management scenarios. Think about how you would handle project backlogs or collaborate with engineering teams, as these are key aspects of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior AI Product Manager - Prototyping & Internal Tools in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, especially in AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for leading our squad. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves working closely with engineering teams, make sure to highlight any past experiences where you’ve successfully collaborated on projects. We’re looking for team players who can bring people together to innovate!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Elsewhen
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss how you've applied AI in your previous roles, especially in product management. This will show that you're not just familiar with the tech but can also leverage it effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering teams, prepare examples of how you've successfully collaborated in the past. Think about specific projects where teamwork made a difference and be ready to share those stories.
✨Prioritise Your Projects
With a backlog of projects to manage, it's crucial to demonstrate your ability to prioritise effectively. Be prepared to discuss your approach to managing competing priorities and how you decide what gets tackled first.
✨Experimentation Mindset
This role involves conducting experiments to validate concepts, so come equipped with examples of how you've used experimentation in your product management process. Highlight any metrics or outcomes that resulted from your experiments to showcase your data-driven approach.
